Registration fees cover attendance and refreshments. Plenary talks in the morning will be offered in hybrid format; afternoon sessions will be in-person only and will take the form of standard papers and posters.
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The impact of generative AI technologies such as ChatGPT is rapidly changing the frameworks of reference for the education and training of future language experts and translators. As a result, the role of language education has been greatly enhanced and simultaneously challenged. The broad availability of easily accessible AI-based resources has been changing the way language learning and translation are understood and practised today by students and teachers alike. The Covid-19 pandemic accelerated progress on new approaches to teaching and learning, yet some important areas such as curriculum development, assessment practices, and teacher training have lagged behind. The need to redefine the meaning and purpose of both teaching and assessment in Modern Languages in the new AI era is already an urgent task. By bringing together experts in AI, digital education, language teaching, and translation studies, as well as professional translators and publishers, this conference will offer an opportunity to reflect upon the challenges and possibilities that the AI revolution offers, and to steer future research towards a more integrated approach to digital literacy, language education, and translation training.
Convenors
Monica Boria, Catherine Franc, and Ana Niño Alonso (University of Manchester)
Ángeles Carreres and Marcus Tomalin (University of Cambridge)
This event has been funded by a conference grant from the Institute of Languages, Cultures, and Societies, ILCS (School of Advanced Study, University of London). It is a collaboration between the School of Arts, Languages, and Cultures (University of Manchester) and the Faculty of Modern and Medieval Languages and Linguistics (University of Cambridge).